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  A graph theoretical approach to study the organization of the cortical networks during different mathematical tasks

Klados, M., Kanatsouli, K., Antoniou, I., Babiloni, F., Tsirka, V., Bamidis, P. D., et al. (2013). A graph theoretical approach to study the organization of the cortical networks during different mathematical tasks. PLoS One, 8(8): e71800. doi:10.1371/journal.pone.0071800.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0025-0178-E Version Permalink: http://hdl.handle.net/21.11116/0000-0003-8D78-8
Genre: Journal Article

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 Creators:
Klados, Manousos1, Author              
Kanatsouli, Kassia2, Author
Antoniou, Ioannis3, Author
Babiloni, Fabio4, Author
Tsirka, Vassiliki2, Author
Bamidis, Panagiotis D.1, Author
Micheloyannis, Sifis2, Author
Moreno, Yamir5, Contributor
Affiliations:
1Laboratory of Medical Informatics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, ou_persistent22              
2Neurophysiological Research Laboratory, Medical School, University of Crete, Heraklion, Greece, ou_persistent22              
3Department of Mathematics, Aristotle University of Thessaloniki, Greece, ou_persistent22              
4Department of Physiology and Pharmacology, Sapienza University of Rome, Italy, ou_persistent22              
5University of Zaragoza, Spain, ou_persistent22              

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 Abstract: The two core systems of mathematical processing (subitizing and retrieval) as well as their functionality are already known and published. In this study we have used graph theory to compare the brain network organization of these two core systems in the cortical layer during difficult calculations. We have examined separately all the EEG frequency bands in healthy young individuals and we found that the network organization at rest, as well as during mathematical tasks has the characteristics of Small World Networks for all the bands, which is the optimum organization required for efficient information processing. The different mathematical stimuli provoked changes in the graph parameters of different frequency bands, especially the low frequency bands. More specific, in Delta band the induced network increases it’s local and global efficiency during the transition from subitizing to retrieval system, while results suggest that difficult mathematics provoke networks with higher cliquish organization due to more specific demands. The network of the Theta band follows the same pattern as before, having high nodal and remote organization during difficult mathematics. Also the spatial distribution of the network’s weights revealed more prominent connections in frontoparietal regions, revealing the working memory load due to the engagement of the retrieval system. The cortical networks of the alpha brainwaves were also more efficient, both locally and globally, during difficult mathematics, while the fact that alpha’s network was more dense on the frontparietal regions as well, reveals the engagement of the retrieval system again. Concluding, this study gives more evidences regarding the interaction of the two core systems, exploiting the produced functional networks of the cerebral cortex, especially for the difficult mathematics.

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Language(s): eng - English
 Dates: 2013-02-272013-07-032013-08-19
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: PMID: 23990992
DOI: 10.1371/journal.pone.0071800
PMC: PMC3747176
Other: eCollection 2013
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Title: PLoS One
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 8 (8) Sequence Number: e71800 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850